Data Scientist, Revenue and Reporting
San Francisco or Seattle
Stripe
Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes. Accept payments, send payouts, and automate financial processes with a suite of APIs and no-code tools.Generate insights and impact from data.
We're looking for data scientists to join the Data Science team who are excited about applying their analytical skills to understand our users and influence decision making. If you are naturally data curious, excited about deriving insights from data, and motivated by having impact on the business, we want to hear from you.
Stripe builds the most powerful and flexible products for running an internet business. We handle billions of dollars each year and enable millions of users around the world to scale faster and more efficiently by building their businesses on Stripe. Sitting atop our payments platform are applications to manage revenue, prevent fraud, expand internationally, and many others.
You’ll be working with the Revenue and Reporting team to build and optimize a suite of holistic revenue management products for ambitious internet businesses, including subscriptions, invoice generation and reconciliation, business analytics, reporting and integration with third-party accounting systems—a robust set of building blocks which may be combined in creative ways to run almost any type of business on Stripe. In this role, you’ll partner closely with Product, Engineering, UX Research, Marketing, Sales, Finance and Data Science teams to establish a rigorous analytical foundation for decision making. You will build tools and analyses that will inform the entire product lifecycle, from product strategy, go-to-market and pricing to optimizing user experience and growing product adoption post-launch.
You will:
- Partner closely with Product, Engineering, UX Research, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions
- Apply statistical, machine learning and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products
- Design, analyze, and interpret the results of experiments
- Design, implement and launch innovative data science solutions to empower data-driven decisions at scale
- Drive the collection of new data and the refinement of existing data sources
- Create analyses that tell a “story” focused on insights, not just data
We're looking for someone with:
- 6+ years of data science experience with a track record of leadership and innovation
- A PhD or MS in a quantitative field (e.g., Economics, Statistics, Engineering, Natural Sciences)
- Expert knowledge of a scientific computing language (such as R or Python) and SQL
- Strong theoretical and applied expertise in statistics, experimentation, and machine learning
- Demonstrated track record of identifying, scoping and leading complex data science projects with cross-functional partners and high business impact
- Ability to synthesize complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences
Nice to haves:
- Experience working with a user-facing product team
- Prior experience with data-distributed tools (Scalding, Spark, Hadoop, Pig, etc)
You should include these in your application:
- Resume and LinkedIn profile
Tags: Business Analytics Economics Engineering Finance Hadoop Machine Learning PhD Python R Research Spark SQL Statistics UX UX Research
Perks/benefits: Flex hours
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open AI Engineer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs